Extending the Fisher metric to density matrices
D. Petz, Cs. Sudar

TL;DR
This paper extends the concept of Fisher metrics to quantum density matrices, characterizing a broad class of monotone metrics using operator monotone functions and analyzing their properties.
Contribution
It introduces a comprehensive characterization of monotone metrics on density matrices, expanding beyond the unique Fisher metric in classical probability.
Findings
A large class of monotone metrics is identified and constructed.
Several metrics previously known in physics are analyzed within this framework.
A limiting procedure to pure states is discussed.
Abstract
Chentsov studied Riemannian metrics on the set of probability measures from the point of view of decision theory. He proved that up to a constant factor the Fisher information is the only metric which is monotone under stochastic transformations. The present paper deals with monotone metrics on the space of finite density matrices on the basis motivated by quantum mechanics. A characterization of those metrics is given in terms of operator monotone functions. Several concrete metrics are constructed and analyzed, in particular, instead of the uniqueness in the probabilistic case, there is a large class of monotone metrics. Some of those appeared already in the physics literature a long time ago. A limiting procedure to pure states is discussed as well.
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Taxonomy
TopicsMathematical Inequalities and Applications · Statistical Mechanics and Entropy · Matrix Theory and Algorithms
